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China Intracranial Aneurysm Project (CIAP): protocol for a registry study on a multidimensional prediction model for
Junfan Chen1, Jian Liu1, Yisen Zhang1
1Department of Interventional Neuroradiology, Beijing Neurosurgical Institute, Beijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China.
Insights
This study aims to develop a multidimensional model to predict the rupture risk of unruptured intracranial aneurysms (UIAs) using data from a large Chinese cohort. The model will integrate various factors to improve patient outcomes and inform treatment strategies for high-risk aneurysms.
Area of Science:
- Neurosurgery
- Radiology
- Genetics
- Biomarkers
Background:
- Ruptured aneurysms causing subarachnoid hemorrhage have high mortality and morbidity.
- Identified risk factors include smoking, hypertension, and female sex, but others like hemodynamics, imaging, and genomics are unclear.
- No accurate predictive model for aneurysm rupture currently exists.
Purpose of the Study:
- To develop a multidimensional model for predicting the rupture risk of unruptured intracranial aneurysms (UIAs).
- To utilize data from a large Chinese cohort to establish an evidence-based prediction model.
- To provide a theoretical basis for treating high-risk aneurysms.
Main Methods:
- The China Intracranial Aneurysm Project-2 (CIAP-2) will screen 500 UIA patients from CIAP-1.
- Data collection includes hemodynamic factors, high-resolution magnetic resonance imaging (HRMRI), genetic factors, and biomarkers.
- Analysis of statistically significant clinical features from a 5000-patient UIA cohort (CIAP-1) will inform model development.
Main Results:
- The study is designed to explore aneurysm rupture risk.
- A multidimensional model for predicting UIA rupture risk will be developed.
- The model will integrate diverse data including clinical features, imaging, genetics, and biomarkers.
Conclusions:
- This research will advance the understanding of UIA rupture risk factors.
- The developed model aims to improve the prediction of aneurysm rupture.
- This provides a foundation for targeted treatment of high-risk intracranial aneurysms.
Background:
Ruptured aneurysms, the commonest cause of nontraumatic subarachnoid hemorrhage, can be catastrophic; the mortality and morbidity of affected patients being very high. Some risk factors, such as smoking, hypertension and female sex have been identified, whereas others, such as hemodynamics, imaging, and genomics, remain unclear. Currently, no accurate model that includes all factors for predicting such rupture is available. We plan to use data from a large cohort of Chinese individuals to set up a multidimensional model for predicting risk of rupture of unruptured intracranial aneurysms (UIAs).
Methods:
The China Intracranial Aneurysm Project-2 (CIAP-2) will comprise screening of a cohort of 500 patients with UIA (From CIAP-1) and focus on hemodynamic factors, high resolution magnetic resonance imaging (HRMRI) findings, genetic factors, and biomarkers. Possible risk factors for rupture of UIA, including genetic factors, biomarkers, HRMRI, and hemodynamic factors, will be analyzed. The first project of the China Intracranial Aneurysm Project (CIAP-1; chaired by the Department of Neurosurgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China) will prospectively collect a cohort of 5000 patients with UIA from 20 centers in China, and collect baseline information for each patient. Multidimensional data will be acquired in follow-up assessments. Statistically significant clinical features in the UIA cohort will also be analyzed and integrated into the model for predicting risk of UIA rupture. After the model has been set up, the resultant evidence-based prediction will provide a preliminary theoretical basis for treating aneurysms at high risk of rupture.
Discussion:
This study will explore the risk of rupture of aneurysms and develop a scientific multidimensional model for predicting rupture of unruptured intracranial aneurysms. Clinical Trials registration A Study on a Multidimensional Prediction Model for Rupture Risk of Unruptured Intracranial Aneurysms (CIAP-2), NCT03133624. Registered: 16 April 2017. https://clinicaltrials.gov/ct2/show/NCT03133624.
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